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<title>CUTLASS: cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</title>
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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm.html">gemm</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm_1_1warp.html">warp</a></li><li class="navelem"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html">MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</a></li>  </ul>
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<div class="title">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</div>  </div>
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<p><code>#include &lt;<a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___07638f8b7761f6e2e2e6918e2c05e739.html">Policy</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Internal structure of iterator - made public to enable introspection.  <a href="structcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___07638f8b7761f6e2e2e6918e2c05e739.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a7ffcc9310bf82c2885e1e623e4a708aa"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a7ffcc9310bf82c2885e1e623e4a708aa">Shape</a> = Shape_</td></tr>
<tr class="memdesc:a7ffcc9310bf82c2885e1e623e4a708aa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of tile to load (concept: PitchLinearShape)  <a href="#a7ffcc9310bf82c2885e1e623e4a708aa">More...</a><br /></td></tr>
<tr class="separator:a7ffcc9310bf82c2885e1e623e4a708aa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a06719b16473c4d23a4db597439199582"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a06719b16473c4d23a4db597439199582">Element</a> = Element_</td></tr>
<tr class="memdesc:a06719b16473c4d23a4db597439199582"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element type.  <a href="#a06719b16473c4d23a4db597439199582">More...</a><br /></td></tr>
<tr class="separator:a06719b16473c4d23a4db597439199582"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a15f54eea90d76efb8051333f883dd67c"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a15f54eea90d76efb8051333f883dd67c">Layout</a> = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;</td></tr>
<tr class="memdesc:a15f54eea90d76efb8051333f883dd67c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Layout of source tile.  <a href="#a15f54eea90d76efb8051333f883dd67c">More...</a><br /></td></tr>
<tr class="separator:a15f54eea90d76efb8051333f883dd67c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2229636a51c6233ee4f9de8a0f15107a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a2229636a51c6233ee4f9de8a0f15107a">InstructionShape</a> = InstructionShape_</td></tr>
<tr class="memdesc:a2229636a51c6233ee4f9de8a0f15107a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of one matrix product operation (concept: <a class="el" href="structcutlass_1_1gemm_1_1GemmShape.html" title="Shape of a matrix multiply-add operation. ">GemmShape</a>)  <a href="#a2229636a51c6233ee4f9de8a0f15107a">More...</a><br /></td></tr>
<tr class="separator:a2229636a51c6233ee4f9de8a0f15107a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a64e8723906c62ed8284a7c8e42627a4d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a64e8723906c62ed8284a7c8e42627a4d">TensorRef</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a64e8723906c62ed8284a7c8e42627a4d">TensorRef</a>&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a06719b16473c4d23a4db597439199582">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a15f54eea90d76efb8051333f883dd67c">Layout</a> &gt;</td></tr>
<tr class="memdesc:a64e8723906c62ed8284a7c8e42627a4d"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> type for loading element from a tensor.  <a href="#a64e8723906c62ed8284a7c8e42627a4d">More...</a><br /></td></tr>
<tr class="separator:a64e8723906c62ed8284a7c8e42627a4d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3e29a84e9e4f4893492f7e200355087e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td></tr>
<tr class="memdesc:a3e29a84e9e4f4893492f7e200355087e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type.  <a href="#a3e29a84e9e4f4893492f7e200355087e">More...</a><br /></td></tr>
<tr class="separator:a3e29a84e9e4f4893492f7e200355087e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6f687d886a3e6eb106bfd59298e6f5c6"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a6f687d886a3e6eb106bfd59298e6f5c6">LongIndex</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td></tr>
<tr class="memdesc:a6f687d886a3e6eb106bfd59298e6f5c6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long Index type.  <a href="#a6f687d886a3e6eb106bfd59298e6f5c6">More...</a><br /></td></tr>
<tr class="separator:a6f687d886a3e6eb106bfd59298e6f5c6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1b80f59bc16c01c0a5a347f36080d809"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td></tr>
<tr class="memdesc:a1b80f59bc16c01c0a5a347f36080d809"><td class="mdescLeft">&#160;</td><td class="mdescRight">Coordinate for an element in the tensor.  <a href="#a1b80f59bc16c01c0a5a347f36080d809">More...</a><br /></td></tr>
<tr class="separator:a1b80f59bc16c01c0a5a347f36080d809"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a258a2278561191525ebfab2e6ff93d8f"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> = Array&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a06719b16473c4d23a4db597439199582">Element</a>, Shape::kCount/<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aa50dce798dbb20fde71ba74627659cca">kThreads</a> &gt;</td></tr>
<tr class="memdesc:a258a2278561191525ebfab2e6ff93d8f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fragment object holding a thread's part of a tile.  <a href="#a258a2278561191525ebfab2e6ff93d8f">More...</a><br /></td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:aed04d00e3dd336bdfc9eff39e1123861"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aed04d00e3dd336bdfc9eff39e1123861">MmaTensorOpMultiplicandTileIterator</a> ()</td></tr>
<tr class="memdesc:aed04d00e3dd336bdfc9eff39e1123861"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default ctor constructs null iterator.  <a href="#aed04d00e3dd336bdfc9eff39e1123861">More...</a><br /></td></tr>
<tr class="separator:aed04d00e3dd336bdfc9eff39e1123861"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a14693f854e28e9f39e46843c5f805767"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a14693f854e28e9f39e46843c5f805767">MmaTensorOpMultiplicandTileIterator</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a64e8723906c62ed8284a7c8e42627a4d">TensorRef</a> const &amp;ref, int lane_id)</td></tr>
<tr class="memdesc:a14693f854e28e9f39e46843c5f805767"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor from <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a>.  <a href="#a14693f854e28e9f39e46843c5f805767">More...</a><br /></td></tr>
<tr class="separator:a14693f854e28e9f39e46843c5f805767"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab2bef766745fa8bfac1279a038b5bf23"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#ab2bef766745fa8bfac1279a038b5bf23">add_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a6f687d886a3e6eb106bfd59298e6f5c6">LongIndex</a> offset)</td></tr>
<tr class="memdesc:ab2bef766745fa8bfac1279a038b5bf23"><td class="mdescLeft">&#160;</td><td class="mdescRight">Adds a pointer offset to internal pointer(s) to advance through memory.  <a href="#ab2bef766745fa8bfac1279a038b5bf23">More...</a><br /></td></tr>
<tr class="separator:ab2bef766745fa8bfac1279a038b5bf23"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa061b3786066f1fbde3e6c993e2dec6c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aa061b3786066f1fbde3e6c993e2dec6c">add_tile_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="memdesc:aa061b3786066f1fbde3e6c993e2dec6c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances an iterator along logical dimensions of matrix in units of whole tiles.  <a href="#aa061b3786066f1fbde3e6c993e2dec6c">More...</a><br /></td></tr>
<tr class="separator:aa061b3786066f1fbde3e6c993e2dec6c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9e8bb224bd9d307c1e8c7b0b898c3912"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a9e8bb224bd9d307c1e8c7b0b898c3912">operator++</a> ()</td></tr>
<tr class="memdesc:a9e8bb224bd9d307c1e8c7b0b898c3912"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#a9e8bb224bd9d307c1e8c7b0b898c3912">More...</a><br /></td></tr>
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<tr class="memitem:ab273a94817606b8bdbc714a7964bd95b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#ab273a94817606b8bdbc714a7964bd95b">operator--</a> ()</td></tr>
<tr class="memdesc:ab273a94817606b8bdbc714a7964bd95b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the opposite of the advance dimension.  <a href="#ab273a94817606b8bdbc714a7964bd95b">More...</a><br /></td></tr>
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<tr class="memitem:aa711fab987df637da35e00d655dcaf65"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aa711fab987df637da35e00d655dcaf65">operator+=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="memdesc:aa711fab987df637da35e00d655dcaf65"><td class="mdescLeft">&#160;</td><td class="mdescRight">advances in units of whole tiles along the logical coordinate space of the tensor  <a href="#aa711fab987df637da35e00d655dcaf65">More...</a><br /></td></tr>
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<tr class="memitem:a8da3cde971d4dd1beb123645b59e90db"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a8da3cde971d4dd1beb123645b59e90db">operator-=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:a1be13f61b06e0f27e27b0b54349cac5c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1be13f61b06e0f27e27b0b54349cac5c">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;frag) const </td></tr>
<tr class="memdesc:a1be13f61b06e0f27e27b0b54349cac5c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory at the location pointed to by the iterator.  <a href="#a1be13f61b06e0f27e27b0b54349cac5c">More...</a><br /></td></tr>
<tr class="separator:a1be13f61b06e0f27e27b0b54349cac5c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a15ab4cedbfb44dc89b7dcf69bdd9b5b4"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a15ab4cedbfb44dc89b7dcf69bdd9b5b4">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:a15ab4cedbfb44dc89b7dcf69bdd9b5b4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a15ab4cedbfb44dc89b7dcf69bdd9b5b4">More...</a><br /></td></tr>
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<tr class="memitem:a9faeee6e6b7c8a8aaa0b60a47b93476b"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a9faeee6e6b7c8a8aaa0b60a47b93476b">load_with_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a9faeee6e6b7c8a8aaa0b60a47b93476b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a9faeee6e6b7c8a8aaa0b60a47b93476b">More...</a><br /></td></tr>
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<tr class="memitem:a1e1b513870c418a8430cfecd56b60b98"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1e1b513870c418a8430cfecd56b60b98">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;tile_offset) const </td></tr>
<tr class="memdesc:a1e1b513870c418a8430cfecd56b60b98"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a1e1b513870c418a8430cfecd56b60b98">More...</a><br /></td></tr>
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<tr class="memitem:ab2fbe2cbd187897d82c4ad0de6cc6008"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#ab2fbe2cbd187897d82c4ad0de6cc6008">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:ab2fbe2cbd187897d82c4ad0de6cc6008"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#ab2fbe2cbd187897d82c4ad0de6cc6008">More...</a><br /></td></tr>
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<tr class="memitem:af8c5a6fe57db046155a8145fe386dbc1"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#af8c5a6fe57db046155a8145fe386dbc1">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:af8c5a6fe57db046155a8145fe386dbc1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#af8c5a6fe57db046155a8145fe386dbc1">More...</a><br /></td></tr>
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<tr class="memitem:aafd0dda75aa9b12d787a8aca0e48c4df"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aafd0dda75aa9b12d787a8aca0e48c4df">set_kgroup_index</a> (int k_group)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
Static Public Attributes</h2></td></tr>
<tr class="memitem:a530b17594e536bc6ddba532cf17dbc88"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a530b17594e536bc6ddba532cf17dbc88">kOperand</a> = Operand_</td></tr>
<tr class="memdesc:a530b17594e536bc6ddba532cf17dbc88"><td class="mdescLeft">&#160;</td><td class="mdescRight">Operand tag.  <a href="#a530b17594e536bc6ddba532cf17dbc88">More...</a><br /></td></tr>
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<tr class="memitem:a00bb713fb2ac605d69dc57014b058eb4"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a00bb713fb2ac605d69dc57014b058eb4">kOpDelta</a> = OpDelta_</td></tr>
<tr class="memdesc:a00bb713fb2ac605d69dc57014b058eb4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Delta between *MMA operations (in units of *MMA operations, concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>)  <a href="#a00bb713fb2ac605d69dc57014b058eb4">More...</a><br /></td></tr>
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<tr class="memitem:aa50dce798dbb20fde71ba74627659cca"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aa50dce798dbb20fde71ba74627659cca">kThreads</a> = 32</td></tr>
<tr class="memdesc:aa50dce798dbb20fde71ba74627659cca"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of participating threads.  <a href="#aa50dce798dbb20fde71ba74627659cca">More...</a><br /></td></tr>
<tr class="separator:aa50dce798dbb20fde71ba74627659cca"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a40fe36af3b514a30200609a2e3b31dcd"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a40fe36af3b514a30200609a2e3b31dcd">kPartitionsK</a> = PartitionsK_</td></tr>
<tr class="memdesc:a40fe36af3b514a30200609a2e3b31dcd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of partitions along K dimension.  <a href="#a40fe36af3b514a30200609a2e3b31dcd">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename Shape_, Operand Operand_, typename Element_, typename InstructionShape_, int OpDelta_, int PartitionsK_&gt;<br />
class cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::TensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</h3>

<p>This tile iterator is specialized for 32-thread TensorOps. It uses LDSM to load from shared memory and therefore must be initialized with a <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> to shared memory.</p>
<p>Satisfies: ReadableRandomAccessContiguousTileIteratorConcept </p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a06719b16473c4d23a4db597439199582">Element</a> =  Element_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> =  Array&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a06719b16473c4d23a4db597439199582">Element</a>, Shape::kCount / <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#aa50dce798dbb20fde71ba74627659cca">kThreads</a>&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a2229636a51c6233ee4f9de8a0f15107a">InstructionShape</a> =  InstructionShape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
      <table class="memname">
        <tr>
          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a15f54eea90d76efb8051333f883dd67c">Layout</a> =  <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, 64&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a6f687d886a3e6eb106bfd59298e6f5c6">LongIndex</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
      <table class="memname">
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a7ffcc9310bf82c2885e1e623e4a708aa">Shape</a> =  Shape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a64e8723906c62ed8284a7c8e42627a4d">TensorRef</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a64e8723906c62ed8284a7c8e42627a4d">TensorRef</a>&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a06719b16473c4d23a4db597439199582">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a15f54eea90d76efb8051333f883dd67c">Layout</a>&gt;</td>
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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a64e8723906c62ed8284a7c8e42627a4d">TensorRef</a> const &amp;&#160;</td>
          <td class="paramname"><em>ref</em>, </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>lane_id</em>&#160;</td>
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<h2 class="groupheader">Member Function Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a6f687d886a3e6eb106bfd59298e6f5c6">LongIndex</a>&#160;</td>
          <td class="paramname"><em>offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_tile_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em></td><td>)</td>
          <td> const</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>&#160;</td>
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          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a linear offset in units of bytes </td></tr>
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  </dd>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
        </tr>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
  </table>
  </dd>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a258a2278561191525ebfab2e6ff93d8f">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a3e29a84e9e4f4893492f7e200355087e">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a linear offset </td></tr>
  </table>
  </dd>
</dl>

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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator++ </td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator+= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
          <td></td>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-- </td>
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<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0ed7daaeba1c095e77f68533d4d2c475c.html#a1b80f59bc16c01c0a5a347f36080d809">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::set_kgroup_index </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>k_group</em></td><td>)</td>
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<p>Notify the iterator which k-group it is currently pointing to.</p>
<p>This does not advance the iterator. Rather, it overrides its internal tracking with constant-valued k-group index to enable the compiler to fold constants and achieve more efficient code.</p>
<p>This is used by some nontrivial permuted layouts. </p>

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<h2 class="groupheader">Member Data Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOpDelta = OpDelta_</td>
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          <td class="memname"><a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOperand = Operand_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kPartitionsK = PartitionsK_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, 64 &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kThreads = 32</td>
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